Business Intelligence Engineer, Ii, Amazon Finauto - Gref Tech

Amazon Amazon · Big Tech · IN, TS, Hyderabad · Business Intelligence

This role is for a Business Intelligence Engineer II on the Global Real Estate and Facilities (GREF) Technology team at Amazon. The primary focus is on building advanced business intelligence and analytics solutions, including dashboards and reports, using tools like Amazon QuickSight. The role involves data modeling, ETL pipeline development, and leveraging advanced analytics techniques such as statistical analysis, predictive modeling, and machine learning to derive actionable insights from data. While the role mentions evaluating GenAI tools, its core function is in business intelligence and data analytics, not in building or deploying AI models.

What you'd actually do

  1. Collaborate across a team of BI engineers, sharing domain expertise and best practices to elevate the overall BI capabilities
  2. Build visually stunning, interactive dashboards and reports that provide actionable insights to GREF customers using Amazon QuickSight
  3. Lead the design and implementation of highly complex, scalable, and high-performance BI architectures and data models to support the organization's strategic business objectives
  4. Use advanced analytics techniques, such as statistical analysis, predictive modeling, and machine learning, to uncover hidden patterns and trends in data
  5. Collaborate cross-functionally with data engineers, data scientists, and business partners to define and deliver impactful BI solutions that drive business value

Skills

Required

  • 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
  • 3+ years of Tableau Desktop, Quicksight or other relevant data visualization software experience
  • Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field
  • Experience with data modeling, warehousing and building ETL pipelines
  • Experience in Statistical Analysis packages such as R, SAS and Matlab
  • Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling

Nice to have

  • Master's degree or above in BI, finance, engineering, statistics, computer science, mathematics or equivalent quantitative field
  • Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
  • Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
  • Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business

What the JD emphasized

  • advanced business intelligence and analytics solutions
  • advanced analytics techniques
  • predictive modeling
  • machine learning
  • GenAI tools and technologies